Author

Hyunjong Ok

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Preprint Sep 2026

OmniKVQuant: KV Cache Quantization for Omni-LLMs

As Omni-modal large language models (Omni-LLMs) take in audio, video and text together, their KV cache memory cost grows. KV cache quantization is the de facto approach in text-only LLMs, but its application to Omni-LLMs remains unexplored. In this paper, we analyze how TurboQuant, a representative rotation-based KV ca...

Suho Yoo, Hyunjong Ok, Jongmin Choi et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Hierarchical Compression of Vision-Language Model Benchmarks

Thorough evaluation of vision-language models (VLMs) has become prohibitively expensive, as benchmarks span an ever-broader spectrum of capabilities and new models arrive at a relentless pace. Benchmark compression methods that preserve model rankings at a fraction of the cost are well studied for language models, but...

Hyunjong Ok, Seung-Gu Kang, Jaeho Lee · 0 citations